Prediction of monthly dry days with machine learning algorithms: a case study in Northern Bangladesh

Abstract Dry days at varied scale are an important topic in climate discussions. Prolonged dry days define a dry period. Dry days with a specific rainfall threshold may visualize a climate scenario of a locality. The variation of monthly dry days from station to station could be correlated with seve...

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Bibliographic Details
Main Authors: Shabbir Ahmed Osmani, Jong-Suk Kim, Changhyun Jun, Md. Wahiduzzaman Sumon, Jongjin Baik, Jinwook Lee
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-23436-x